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5 дней назад

Platform Backend Engineer (Go, Distributed Systems & Event Streaming)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Platform Backend Engineer (Go, Distributed Systems & Event Streaming) (Go/Kubernetes/event streaming): Building and operating distributed systems for event processing, workflow execution, and shared platform services with an accent on high-throughput pipelines, reliable messaging, and production reliability. Focus on designing failure-tolerant systems with retries, idempotency, ordering, backpressure, and recovery while troubleshooting performance and observability issues.

Location: Remote

Company

hirify.global provides AI-powered IT management and cybersecurity software for Managed Service Providers and internal IT organizations worldwide.

What you will do

  • Build and operate distributed systems powering event processing, workflow execution, and shared platform services.
  • Develop high-throughput event pipelines, reliable messaging, and backend services for automation and AI-enabled workflows.
  • Design and maintain event-driven architecture and production services in Go and Kubernetes.
  • Troubleshoot distributed production systems, including performance, observability, and reliability issues.

Requirements

  • Experience building and operating production backend services using Go.
  • Experience designing event-driven or streaming systems with Kafka, Numaflow, Flink, or similar technologies.
  • Experience developing distributed systems that handle retries, idempotency, ordering, backpressure, and failure recovery.
  • Experience building or operating containerized services with Kubernetes in production.
  • Experience troubleshooting production distributed systems, including performance, observability, and reliability issues.

Nice to have

  • Experience with Numaflow, Apache Flink, Kafka Streams, or other distributed stream-processing platforms.
  • Experience building Kubernetes-native platforms, operators, or custom controllers.
  • Experience with Temporal or another durable workflow orchestration platform.
  • Experience with multi-tenant SaaS platforms, identity, authorization, or secrets management.
  • Experience with event ingestion, CDC, data pipelines, or real-time processing infrastructure.
  • Experience with GitOps, Terraform, CI/CD, or cloud-native infrastructure automation.
  • Experience with ClickHouse, analytical data stores, or event-driven audit systems.

Culture & Benefits

  • Remote work arrangement.
  • Equal employment opportunity is provided without regard to legally protected characteristics.

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